相關的專案

PanBI is a collection of analytics modules for existing information systems. For each information system, it provides data extraction, transformation, and loading logic coupled with an OLAP schema, delivering OLAP functionality to an unprecedented user base. It extracts data from the source database, sets up a warehouse schema, loads the data into the warehouse, and has defined OLAP cubes. It does all this automatically for a one-click-run experience. Supported systems: dotProject, NesterSoft WorkTime, Subversion, and MantisBT (under development).

相關的專案

Shard-Query uses partitioning and sharding to add query parallelism and grid computing capabilities to MySQL. Multiple interfaces are included, from a commandline client to an object oriented interface to a MySQL proxy interface for nearly-completely transparent access to a sharded data set.

相關的專案

Cubes is a Python framework for online analytical processing (OLAP), multidimensional analysis, star and snowflake schema denormalization, and cube comptutation. It features a logical model that describes how data are being analyzed and reported, independent of physical data implementation, hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region), localizable metadata and data localization.